code: def _load_confounds_for_single_image_file(
      image_file, strategy, demean, **kwargs
  ):
      """Load confounds for a single image file.
  
      Parameters
      ----------
      image_file : :obj:`str`
          Path to processed image file.
  
      strategy : :obj:`tuple` or :obj:`list` of :obj:`str`.
          See :func:`nilearn.interfaces.fmriprep.load_confounds` for details.
  
      demean : :obj:`bool`, default=True
          See :func:`nilearn.interfaces.fmriprep.load_confounds` for details.
  
      kwargs : :obj:`dict`
          Extra relevant parameters for the given `strategy`.
          See :func:`nilearn.interfaces.fmriprep.load_confounds` for details.
  
      Returns
      -------
      sample_mask : None, :class:`numpy.ndarray` or, :obj:`list` of \
          :class:`numpy.ndarray` or None
          See :func:`nilearn.interfaces.fmriprep.load_confounds` for details.
  
      confounds : :class:`pandas.DataFrame`, or :obj:`list` of \
          :class:`pandas.DataFrame`
          See :func:`nilearn.interfaces.fmriprep.load_confounds` for details.
      """
      # Check for ica_aroma in strategy, this will change the required image_file
      flag_full_aroma = ("ica_aroma" in strategy) and (
          kwargs.get("ica_aroma") == "full"
      )
  
      confounds_file = get_confounds_file(
          image_file, flag_full_aroma=flag_full_aroma
      )
      confounds_json_file = get_json(confounds_file)
  
      return _load_single_confounds_file(
          confounds_file=confounds_file,
          strategy=strategy,
          demean=demean,
          confounds_json_file=confounds_json_file,
          **kwargs,
      )
  
file_path: nilearn/nilearn/interfaces/fmriprep/load_confounds.py
imports: import warnings
  import pandas
  from .None import load_confounds_components
  from .load_confounds_utils import MissingConfound, get_confounds_file, get_json, load_confounds_file_as_dataframe, load_confounds_json, prepare_output, sanitize_confounds
label_desc: Use image node_id 4 for calling a global function with example usage: _load_confounds_for_single_image_file(image_file, strategy, demean) and returns: _load_single_confounds_file